Probability propagation in Bayesian networks, also known as graphical independence networks. Documentation
of the package is provided in vignettes included in the package and in
the paper by Højsgaard (2012, <doi:10.18637/jss.v046.i10>).
See 'citation("gRain")' for details.
| Version: |
1.4.5 |
| Depends: |
R (≥ 4.2.0), methods, gRbase (≥ 2.0.2) |
| Imports: |
igraph, stats4, broom, Rcpp (≥ 0.11.1) |
| LinkingTo: |
Rcpp (≥ 0.11.1), RcppArmadillo, RcppEigen, gRbase |
| Suggests: |
bnlearn, gRim, knitr, markdown, microbenchmark, testthat (≥
2.1.0) |
| Published: |
2024-10-17 |
| DOI: |
10.32614/CRAN.package.gRain |
| Author: |
Søren Højsgaard [aut, cre] |
| Maintainer: |
Søren Højsgaard <sorenh at math.aau.dk> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://people.math.aau.dk/~sorenh/software/gR/ |
| NeedsCompilation: |
yes |
| Citation: |
gRain citation info |
| Materials: |
README NEWS ChangeLog |
| In views: |
Bayesian, GraphicalModels |
| CRAN checks: |
gRain results |